System for addition and management of ad-hoc network attached compute (nac) resources

ABSTRACT

A computer-implemented method includes receiving information associated with a plurality of user equipment (UE), wherein the information comprises location information for each of the plurality of UE and receiving information associated with a plurality of temporary network attached compute (NAC) apparatuses in proximity to the plurality of UE. The computer-implemented method further includes analyzing the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses. The computer-implemented method further includes in response to the analysis, detecting a trigger, wherein the trigger comprises reaching one or more thresholds associated with the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses. The computer-implemented method further includes based on the trigger, orchestrating movement, and connection of each of the plurality of temporary NAC apparatuses.

CROSS REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 17/231,688 filed on Apr. 15, 2021. All sections of the aforementioned application are incorporated herein by reference in their entirety.

TECHNICAL FIELD

This disclosure is directed to a system and method for network resource management, and, more specifically, to supplementing network resources to accommodate for planned or unplanned network traffic changes.

BACKGROUND

Service providers are able to provide a broad array of network-based services that include video, telephone, cellular, data and other services, which require extensive network infrastructure. The wide adoption of mobile devices along with ubiquitous cellular data coverage has resulted in the unprecedented growth of mobile applications that are dependent on always-accessible wireless networking. The growth in the use of mobile applications has placed strains on the network infrastructure. A strained network infrastructure may result in dropped calls and poor communication, which may cause user dissatisfaction.

This background information is provided to reveal information believed by the applicant to be of possible relevance. No admission is necessarily intended, nor should be construed, that any of the preceding information constitutes prior art.

SUMMARY

Disclosed herein is a system having one or more processors and a memory coupled with the one or more processors. The one or more processors effectuate operations including receiving information associated with a plurality of user equipment (UE), wherein the information comprises location information for each of the plurality of UE. The one or more processors further effectuate operations including receiving information associated with a plurality of temporary network attached compute (NAC) apparatuses in proximity to the plurality of UE. The one or more processors further effectuate operations including analyzing the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses, wherein the analysis of the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses is based on historical or near real-time information that uses artificial intelligence. The one or more processors further effectuate operations including in response to the analysis, detecting a trigger, wherein the trigger comprises reaching one or more thresholds associated with the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses. The one or more processors further effectuate operations including based on the trigger, orchestrating movement, and connection of each of the plurality of temporary NAC apparatuses.

Disclosed herein is a computer-implemented method. The computer-implemented method includes receiving information associated with a plurality of user equipment (UE), wherein the information comprises location information for each of the plurality of UE. The computer-implemented method further includes receiving information associated with a plurality of temporary network attached compute (NAC) apparatuses in proximity to the plurality of UE. The computer-implemented method further includes analyzing the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses, wherein the analysis of the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses is based on historical or near real-time information that uses artificial intelligence. The computer-implemented method further includes in response to the analysis, detecting a trigger, wherein the trigger comprises reaching one or more thresholds associated with the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses. The computer-implemented method further includes based on the trigger, orchestrating movement, and connection of each of the plurality of temporary NAC apparatuses.

Disclosed herein is a computer-readable storage medium storing executable instructions that when executed by a computing device cause said computing device to effectuate operations including receiving information associated with a plurality of user equipment (UE), wherein the information comprises location information for each of the plurality of UE. Operations further include receiving information associated with a plurality of temporary network attached compute (NAC) apparatuses in proximity to the plurality of UE. Operations further include analyzing the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses, wherein the analysis of the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses is based on historical or near real-time information that uses artificial intelligence. Operations further include in response to the analysis, detecting a trigger, wherein the trigger comprises reaching one or more thresholds associated with the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses. Operations further include based on the trigger, orchestrating movement, and connection of each of the plurality of temporary NAC apparatuses.

BRIEF DESCRIPTION OF THE DRAWINGS

Aspects of the herein described telecommunications network and systems and methods are described more fully with reference to the accompanying drawings, which provide examples. In the following description, for purposes of explanation, numerous specific details are set forth in order to provide an understanding of the variations in implementing the disclosed technology. However, the instant disclosure may take many different forms and should not be construed as limited to the examples set forth herein. Where practical, like numbers refer to like elements throughout.

FIG. 1 is a block diagram of an exemplary operating environment in accordance with the present disclosure;

FIG. 2 is a flowchart of an exemplary method of operation for the architecture described in FIG. 1;

FIG. 3 is a flowchart of an exemplary method of operation for the architecture described in FIG. 1;

FIG. 4 is a schematic of an exemplary network device;

FIG. 5 depicts an exemplary communication system that provide wireless telecommunication services over wireless communication networks with which edge computing node may communicate;

FIG. 6 depicts an exemplary communication system that provide wireless telecommunication services over wireless communication networks with which edge computing node may communicate; and

FIG. 7 is a diagram of an exemplary telecommunications system in which the disclosed methods and processes may be implemented with which edge computing node may communicate.

DETAILED DESCRIPTION

With the introduction of new telecommunications technologies (e.g., LTE, 5G, 6G, Wi-Fi 6, etc.), improving a telecommunications network infrastructure to provide new or additional services to users is essential. Accordingly, telecommunications service providers spend a large amount of effort deciding what regions to prioritize for the placement of cell sites and other network infrastructure because cell towers and other network infrastructure operations are static in nature (e.g., difficulty or incapable of changing orientation or physical location).

In addition, telecommunications service providers may increase performance for customers by utilizing Multi-access edge computing (MEC) to run applications and perform related processing tasks closer to the customers. MEC technology may be implemented, for example, between cellular base stations (e.g., evolved NodeBs (eNodeBs) or next generation NodeBs (gNodeBs or gNBs)) and a mobile core network. MEC technology is also static in nature.

The static nature of cell sites, MECs and other network infrastructure complicates managing permanent or temporary network demand (e.g., compute demand) spikes (e.g., seasonal demand, events, emergencies, new or increased customer demand at a given location or from a unplanned direction, etc.) without providing additional cell towers and other network infrastructure to meet the increased demand. Accordingly, because cell towers, MECs and other network infrastructure lack the flexibility to adjust to increases in demand, planned or unplanned, the telecommunications service providers may not provide services to customers in a satisfactory manner. Hence, providing cell towers and other network infrastructure capable of receiving and connecting additional compute resources to accommodate permanent or temporary compute demand spikes may be beneficial.

The present disclosure includes a system that orchestrates network resource movement of additional compute components, which may be added to a network on an as needed based to supplement existing network resources. Instead of utilizing a static telecommunications infrastructure, the system may intelligently attach network resource compute to a local network as a temporary network node. The temporary network node may be added via traditional radio (e.g. 5G, 6G) or via a connected hardware/infrastructure line. Accordingly, the temporary network node may be used to accommodate permanent or temporary compute demand spikes.

FIG. 1 illustrates an example telecommunication system 100 that may be utilized to facilitate operational management processes according to an exemplary embodiment of the present disclosure. The telecommunication system 100 may include a telecommunications network 101, a packet core network 102, a network infrastructure system 103, a network performance monitoring system 105, a network orchestration system 107, or user equipment (UE) 110. As shown in FIG. 1, UE 110 may request a service, execute an application, perform an operation, provide telephony services, messaging services, video services, or the like. As depicted in FIG. 1, UE 110 may comprise any appropriate type of user equipment, such as, for example, a tablet, personal computer, a laptop computer, or a mobile device, or the like. The UE 110 may include a display 114 and a graphical user interface 112.

UE 110 may gain access to the telecommunications network 101 via any appropriate mechanism. For example, as depicted in FIG. 1, access to the telecommunications network 101 may be provided via the packet core 102, MECs 111 and 113, and cellular infrastructure (e.g., radio access technology 125 (e.g., an LTE RAN, 5G RAN, etc.), Wi-Fi infrastructure, hot spots, or the like, or any appropriate combination thereof. The packet core 102 may be for example, an Evolved Packet Core (EPC) or Common BackBone (CBB).

The network infrastructure system 103 may be a system that collects and stores network infrastructure plans. The network infrastructure plans may include locations and configurations for one or more network nodes (e.g., one or more cell sites, one or more base stations, one or more MECs, or network components). The configuration of the one or more network nodes may be based on, for example, technologies to be implemented (e.g., 5G NR, LTE, NB-IoT, UMTS, GSM, CDMA, etc.), antenna models, antenna heights, orientation, azimuth, or tilt angles, etc.

The network performance monitoring system 105 may collect network statistics (e.g., average signal strength, location, demand, orientation, etc.) from one or more base stations (e.g. cell sites) or network components at a given location. The network statistics collected may be utilized to determine whether the given location is underserved, sufficiently served, or overserved. The network performance monitoring system 105 may also collect customer data related to mobile application usage, mobile device type, or model, etc. The network performance monitoring system 105 may utilize the network statistics and customer data to generate network performance data for the given location. The network performance monitoring system 105 may store the network performance data in real-time or over time (e.g., historical data).

The network orchestration system 107 may be a computing device (e.g., a server), which may be used to determine network infrastructure adjustments based on network infrastructure plans received from the network infrastructure system 103 and network performance data received from the network performance monitoring system 105 for a given location. The network orchestration system 107 may utilize network node locations and network performance data to supplement the network infrastructure to meet changes in demand at the given location. For example, demand at the given location or micro-location (e.g., a portion of the given location, such a room in a conference center) may increase due to an event (e.g., a conference, concert, sporting event, pop up shop, etc.) occurring at the given location. To meet the increased demand, additional infrastructure may be added to the current network infrastructures to supplement the current functionality of the current network infrastructure. For example, the additional infrastructure may include network attached compute (NAC) resources which may be network nodes of different capacities and functionality (e.g. power, throughput, etc.) to dynamically connect to available ports of the network infrastructure at the given location to provide additional compute resources. The NAC may be a drone, vehicle, or any other mobile compute structure that may attach itself to an existing network node upon receiving instructions to travel to provide additional network resources to the existing network.

Compute, in modern computing, refers to activities, applications or workloads that require more processing resources than its memory or I/O resource requirements. Generally speaking, compute is used to describe concepts and objects geared towards computation and processing. For example, central processing units (CPUs), accelerated processing units (APUs) and graphics processing unit (GPUs) are considered compute resources while graphics processing applications like 3-D rendering and video games are described as compute-intensive applications. Compute may be frequently encountered in modern computing concepts like cloud computing and big data, used to refer to resources being used or served up in the server and data center spaces. In cloud computing and big data, resources that are used to process data are called compute resources that are provided by CPUs working together in clusters. Compute resources may be time slice tickets given to those clients that need it so that they can have access to the allocated CPUs in the system.

When determining how to supplement the network infrastructure, the network orchestration system 107 may utilize machine learning, which is a subset of artificial intelligence (AI) directed to a theory and development of computer systems able to perform tasks normally requiring human intelligence (e.g., visual perception, speech recognition, decision-making, and translation between languages, etc.), to train the network orchestration system 107 to make better adjustments or anticipate adjustments to a given network node using NACs in order to accommodate demand spikes. The machine learning may incorporate reinforcement learning-based tuning. The machine learning may utilize historical patterns as initial fit, as well as advanced machine learning techniques (e.g., generative adversarial network) to propose hybrid structures and evaluate alternative adjustments due to permanent (e.g., long term demand for a extended time period, for example, a year or greater) or temporary (e.g., short term demand for a time period, for example, a day, a week, a weekend, etc.) compute demand spikes.

The network orchestration system 107 may use the network infrastructure plans to maintain an automated inventory of available resources and potential locations using location estimation models (e.g., where people are, where potential equipment could go) or a collection of adjacent equipment (e.g., which nodes are capable of attaching NACs, which nodes are attached to NACs, etc.) have AI-based planning (but also interoperable for operators).

The network orchestration system 107 may also provide network resource monitoring, update node plane orientations, and provide quality of service allocations based on application needs (e.g. a need for ultra-low latency interactions with other users or devices or high bandwidth transfers of complex virtual objects or visualizations). The network orchestration system 107 may also provide a resource request (e.g., a persistent need change where one area becomes a hotspot). The network orchestration system 107 may also execute orchestration and real-time changes of network topology or port usage for active changes based on ephemeral requirements (e.g., first responder or change of network throughput).

The network orchestration system 107 may perform adjustments to a given network node in telecommunications network 101 to account for planned or unplanned changes in demand. For example, the network orchestration system 107 may perform adjustments for high speed but ephemeral network needs (e.g., a first responder response to an emergency), medicine-in-the-field for teleoperations (e.g., remote teleoperations), or temporary hot spot needs for equipment used in down or low-connectivity areas due to a natural disaster. Additionally, the network orchestration system 107 may perform adjustments for positioning and tracking a ship or platform in an ocean or space. Additionally, the network orchestration system 107 may perform adjustments following a burst event for private communication (e.g. video broadcast at an event).

FIG. 2 illustrates a method of orchestration of temporary and modular network resources within a telecommunications network according one or more embodiments. A network orchestration system 107, which may include an MEC location orchestrator 210, may determine permanent or temporary compute demand for UEs 110 at a given a location or micro-location that is transmitted to a cellular network infrastructure 125. The network orchestration system 107 may analyze UE movement, cellular infrastructure (e.g., network nodes), or network performance at a given a location or micro-location. In response to a determination that permanent or temporary compute demand for UEs 110 at the given a location or micro-location exceeds a compute capacity at the given a location or micro-location, the cellular network infrastructure 125 transmits a request for additional compute resources to a mobile compute manager 205 within the network 101.

In response to the receipt of a request for additional compute resources, the mobile compute manager 205 may communicate with one or more mobilized network resources 220 (e.g., NACs), which may connect to a network node at the given a location or micro-location to address a permanent or temporary increase compute demand. In response to the communication from the mobile compute manager 205, the one or more mobilized network resources 220 may transmit a response to the mobile compute manager 205 indicating whether or not the one or more mobilized network resources 220 can fulfill the request for additional resources.

The cellular network infrastructure 125 and mobile compute manager 205 may communicate with the network orchestration system 107 in order to coordinate utilization of the one or more mobilized network resources 220. The mobile compute manager 205 may communicate with the one or more UEs 110 in order to negotiate connectivity to a designated mobilized network resource 220. The mobile compute manager 205 may also communicate information related to communications for each mobilized network resource 220 to a pattern learning component 215 to conduct machine learning (e.g., algorithms that build a model based on training data in order to make predictions or decisions without being programmed to do so). The pattern learning component 215 may send machine learning results back to the mobile compute manager 205 for use in subsequent request for additional compute resources. The network orchestration system 107 may also communicate information related to communications for each mobilized network resource 220 to the pattern learning component 215.

Each mobilized network resource 220 may transmit status information to the mobile compute manager 205 indicating fulfillment availability information. For example, a mobilized network resource 220 may no longer be available to fulfill the request for additional compute. Accordingly, the network orchestration system 107 may communicate with the one or more UEs 110 in order to change connectivity from a designated mobilized network resource 220 to another designated mobilized network resource 220 in response to a mobilized network resource 220 being no longer be available to fulfill the request for additional compute.

Accordingly, the network orchestration system 107 may provide high-speed compute to a specific a location or micro-location in order to accommodate permanent or temporary compute demand spikes. The network orchestration system 107 may also geo-match or task-match the high-speed compute based on compute demand. The network orchestration system 107 may further orchestrate one or more mobilized network resources 220 connected to the cellular network infrastructure 125, which are provided by individuals not associated with the service provider (e.g., conference attendees, conference organizers, etc.). In instances where the network orchestration system 107 utilizes the one or more mobilized network resources 220 provided by individuals, the network orchestration system 107 may calculate fees for use of the NACs and coordinate payment of the fees to an individual or organization associated with a particular mobilized network resource 220. The network orchestration system 107 may also provide authentication and assignment of the one or more mobilized network resources 220. In one example, authentication of one of the mobilized network resources 220 may be accomplished by pre-authorized network addresses (MACs), traditional encryption keys for a service (e.g. a token, session id, etc.), or opportunistically created virtual containers that are requested by the compute manager 205 from a centralized service (e.g. the vendor of a specific type of compute, which may further delegate the creation and activate to a local NAC). In another example, the mobilized compute instances 220 are trustless in nature (e.g. the orchestrator performs interrogation to validate that its needs are satisfied) such that specific compute characteristics are specified but the compute manager 205 will qualify the type, security, and accuracy of the mobilized node 220 by submitting a set of tasks (or tests), receiving responses, and then comparing those responses to expected responses. The coupling of this response comparison to an observation of additional network traffic requirements (e.g. did the new mobilized compute node 220 access any other network services) can be utilized as s trustless authentication of a node, having verified requirements of both internal and external behaviors.

An exemplary operational flowchart in accordance with a method of the present disclosure is illustrated in FIG. 3, which may be utilized for orchestration of mobilized network resources (e.g., network attached compute (NAC)) within a telecommunications network according one or more embodiments. At block 305, radio access technology 125 may receive information from a plurality of UE 110. For example, the information received from the plurality of UE 110 may include geographical location information, proximity information with respect to other UE 110, wireless standards (e.g., Wi-Fi, LTE, NR, or Bluetooth), antenna types, UE type, UE model, operating system for the UE, minimum throughput for each of the plurality of UE 110, application information for each UE 110, such as type of application running on the UE (e.g., audio, video, email, etc.), quality of service requirement of application, minimum bandwidth threshold or preferred bandwidth threshold while using each application on the UE. At block 310, the radio access technology 125 may determine whether a permanent or temporary compute demand for UEs 110 at a given location or micro-location exceeds a compute capacity threshold (e.g., compute demand exceeding 80%) at the given location or micro-location. If the compute capacity threshold has not been exceeded, the method returns to block 305.

If the compute capacity threshold has been exceeded, the method proceeds to block 315, the radio access technology 125 may transmit a request for additional compute resources to a mobile compute manager 205 where the mobile compute manager may communicate with each of the plurality of NACs. For example, the communication may include information regarding requested compute needs to be fulfilled by the NAC, a location of fulfillment, authentication information, priority assignment, etc. The communication may also include a request for additional compute needed, what type of compute needed, and how the compute needed should be distributed.

At block 320, each NAC may send confirmation or denial information back to the mobile compute manager in response to the communication indicating whether or not each NAC can fulfill the request of the mobile compute manager. For example, the confirmation information may include a confirm fulfillment message, an available bandwidth, and location information. For example, the denial information may include a fulfillment denial message, bandwidth status information and location information. At block 325, NACs that have sent confirmation to the mobile compute manager may be instructed to a designated location in order to provide additional compute resource to one or more UEs 110.

At block 330, the mobile compute manager may instruct the one or more UEs 110 to connect to one or more NACs capable of fulfilling the request for additional compute to utilize an application running on the UE 110 (e.g., audio, video, email, etc.). At block 335, the mobile compute manager may send information related to communications with each NAC to a pattern learning component to conduct machine learning. At block 340, the pattern learning component may send machine learning results back to the mobile compute manager for use in a subsequent request.

Accordingly, the present disclosure provides a system to attach and mange high-capacity network attached compute (NAC) to symbiotically solve additional compute needs for a network provider, compute provider, or end users. NACs may be joined to a local network (e.g., at a radio access network node or MEC).

The system may support on-demand or reserved instance billing for NAC utilization: coordination of user, network, and hardware parties for proper authentication and assignment of resources. The system may further provide escalation and QoS controls for non-managed equipment: securely added, with correct QoS escalation, and appropriate connectivity to proximal devices. The system may further provide network selection that allows both UEs and NACs to alternate between both provider networks (e.g. different carriers, slices among carrier, etc.) and provider topology (spectrum, using hard-wire or radio access, etc.).

The system may determine a need for new compute (e.g., one or more NACs) expressed by user or application, a recognition of need type and availability, as well as aggregate compute requests. The system may determine when the new compute becomes available for use, where the new compute indicates capacity, location, or application type available. The new compute may also register with one or more providers or operators or register with or more radio types. The new may determine what type of compute is required or how to distribute the additional compute based on demand. The system may assign a priority for compute, network, or bandwidth. The system may also dynamically move new compute to a given location or from one part of a given location to another part of the given location.

The system may also orchestrate NAC utilization amongst users. The system may determine billing and credentials, as well as execute authentication, authorization, or assignment of the new compute to users.

The system may act as broker or pass-through for peer-to-peer traffic which may be modified for moderation, safety, throttling, etc. Depending on latency need, the system may broker peer-to-peer using edge-based filtering. The system may also promote new compute up or down an MEC pipeline (e.g. more central or highly localized). In one example, specific type of compute (e.g. the synthesis of a 3D face and avatar) may be initially created as a NAC to serve a more general in a location or event (e.g. an entire class room or school). However, due to increased demand from the location or event changing its nature (e.g. students are now performing their own experiment or asked to validate the task on their device) or for specialization (e.g. one class is focused more on real-time VR rendering whereas another is focused on static VR rendering) or its security requirements (e.g. one class begins to work with open source data and another graduate class works on government-provided, restricted data) the previous one NAC instance serving an entire event is no longer sufficient. Thus, the system may request additional nodes for each sub-event and promote the NAC to attach closer to those mobile elements (e.g. direct connection to a MEC or a network slice) or the system may relegate the NAC to a more generalized position in the network (e.g. distributed element connection but through a secure resource service link, like encrypted IoT network protocols).

A mobile compute manager of the system may refer NACs to other network providers or other portions of a network topology. The mobile compute manager may select NACs based on availability and priority, UE experience needs (e.g. latency, speed, etc.), or historical UE performance. One or more service providers associated with a NAC may a notify and allow another service provider to utilize the NAC.

Within a 5G or 6G network, the mobile compute manager may organize network slices by compute and application needs (even virtualized) among multiple service providers so that switching and bonding is seamless.

The system may perform learning and optimization continually for both UEs and NACs. Also, as a NAC goes offline, the system may orchestrate a hand-off to another NAC.

The MEC orchestrator in combination with this mobile compute manager may learn compute needs for a location or micro-location from certain contexts (e.g., bandwidth availability, latency requirements, local compute capabilities, compute demand, seasonality of network loading, UE connections, possible NAC attachment points at or near the location or micro-location, possible NACs that can fulfill a request for additional compute or compute offloading by an MEC, external network NAC availability, etc.) and predict future compute needs from the certain context in order to support a network in response to permanent or temporary compute demand spikes. Accordingly, service providers may manage compute over a local network without needing resources from an associated MEC.

Accordingly, the system disclosed herein provides an orchestration that arranges dynamic network structures at a location or micro-location, like UAV-based, vehicle-based, or ocean-of-things deployments for needs-based placement of network structures. The system disclosed provides on-demand addition of new compute, geo-matched or task-matched new compute correlated with compute demand for a given location. The system disclosed herein may optimize a user experience by causing new compute to co-located close to an edge.

FIG. 4 is a block diagram of network device 300 that may be associated with equipment of FIG. 1 through FIG. 3. Network device 300 may comprise hardware or a combination of hardware and software. The functionality to facilitate telecommunications via a telecommunications network may reside in one or combination of network devices 300. Network device 300 depicted in FIG. 4 may represent or perform functionality of an appropriate network device 300, or combination of network devices 300, such as, for example, a component or various components of a cellular broadcast system wireless network, a processor, a server, a gateway, a node, a mobile switching center (MSC), a short message service center (SMSC), an ALFS, a gateway mobile location center (GMLC), a radio access network (RAN), a serving mobile location center (SMLC), or the like, or any appropriate combination thereof. It is emphasized that the block diagram depicted in FIG. 4 is exemplary and not intended to imply a limitation to a specific implementation or configuration. Thus, network device 300 may be implemented in a single device or multiple devices (e.g., single server or multiple servers, single gateway or multiple gateways, single controller, or multiple controllers). Multiple network entities may be distributed or centrally located. Multiple network entities may communicate wirelessly, via hard wire, or any appropriate combination thereof.

Network device 300 may comprise a processor 302 and a memory 304 coupled to processor 302. Memory 304 may contain executable instructions that, when executed by processor 302, cause processor 302 to effectuate operations associated with mapping wireless signal strength.

In addition to processor 302 and memory 304, network device 300 may include an input/output system 306. Processor 302, memory 304, and input/output system 306 may be coupled together (coupling not shown in FIG. 4) to allow communications therebetween. Each portion of network device 300 may comprise circuitry for performing functions associated with each respective portion. Thus, each portion may comprise hardware, or a combination of hardware and software. Input/output system 306 may be capable of receiving or providing information from or to a communications device or other network entities configured for telecommunications. For example, input/output system 306 may include a wireless communications (e.g., 3G/4G/GPS) card. Input/output system 306 may be capable of receiving or sending video information, audio information, control information, image information, data, or any combination thereof. Input/output system 306 may be capable of transferring information with network device 300. In various configurations, input/output system 306 may receive or provide information via any appropriate means, such as, for example, optical means (e.g., infrared), electromagnetic means (e.g., RF, Wi-Fi, Bluetooth®, ZigBee), acoustic means (e.g., speaker, microphone, ultrasonic receiver, ultrasonic transmitter), or a combination thereof. In an example configuration, input/output system 306 may comprise a Wi-Fi finder, a two-way GPS chipset or equivalent, or the like, or a combination thereof.

Input/output system 306 of network device 300 also may contain a communication connection 308 that allows network device 300 to communicate with other devices, network entities, or the like. Communication connection 308 may comprise communication media. Communication media typically embody computer-readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media. By way of example, and not limitation, communication media may include wired media such as a wired network or direct-wired connection, or wireless media such as acoustic, RF, infrared, or other wireless media. The term computer-readable media as used herein includes both storage media and communication media. Input/output system 306 also may include an input device 310 such as keyboard, mouse, pen, voice input device, or touch input device. Input/output system 306 may also include an output device 312, such as a display, speakers, or a printer.

Processor 302 may be capable of performing functions associated with telecommunications, such as functions for processing broadcast messages, as described herein. For example, processor 302 may be capable of, in conjunction with any other portion of network device 300, determining a type of broadcast message and acting according to the broadcast message type or content, as described herein.

Memory 304 of network device 300 may comprise a storage medium having a concrete, tangible, physical structure. As is known, a signal does not have a concrete, tangible, physical structure. Memory 304, as well as any computer-readable storage medium described herein, is not to be construed as a signal. Memory 304, as well as any computer-readable storage medium described herein, is not to be construed as a transient signal. Memory 304, as well as any computer-readable storage medium described herein, is not to be construed as a propagating signal. Memory 304, as well as any computer-readable storage medium described herein, is to be construed as an article of manufacture.

Memory 304 may store any information utilized in conjunction with telecommunications. Depending upon the exact configuration or type of processor, memory 304 may include a volatile storage 314 (such as some types of RAM), a nonvolatile storage 316 (such as ROM, flash memory), or a combination thereof. Memory 304 may include additional storage (e.g., a removable storage 318 or a nonremovable storage 320) including, for example, tape, flash memory, smart cards, CD-ROM, DVD, or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, USB-compatible memory, or any other medium that can be used to store information and that can be accessed by network device 300. Memory 304 may comprise executable instructions that, when executed by processor 302, cause processor 302 to effectuate operations to map signal strengths in an area of interest.

FIG. 5 illustrates a functional block diagram depicting one example of an LTE-EPS network architecture 400 related to the current disclosure. In particular, the network architecture 400 disclosed herein is referred to as a modified LTE-EPS architecture 400 to distinguish it from a traditional LTE-EPS architecture.

An example modified LTE-EPS architecture 400 is based at least in part on standards developed by the 3rd Generation Partnership Project (3GPP), with information available at www.3gpp.org. In one embodiment, the LTE-EPS network architecture 400 includes an access network 402, a core network 404, e.g., an EPC or Common BackBone (CBB) and one or more external networks 406, sometimes referred to as PDN or peer entities. Different external networks 406 can be distinguished from each other by a respective network identifier, e.g., a label according to DNS naming conventions describing an access point to the PDN. Such labels can be referred to as Access Point Names (APN). External networks 406 can include one or more trusted and non-trusted external networks such as an internet protocol (IP) network 408, an IP multimedia subsystem (LMS) network 410, and other networks 412, such as a service network, a corporate network, or the like.

Access network 402 can include an LTE network architecture sometimes referred to as Evolved Universal mobile Telecommunication system Terrestrial Radio Access (E UTRA) and evolved UMTS Terrestrial Radio Access Network (E-UTRAN). Broadly, access network 402 can include one or more communication devices, commonly referred to as UE 414, and one or more wireless access nodes, or base stations 416 a, 416 b. During network operations, at least one base station 416 communicates directly with UE 414. Base station 416 can be an evolved Node B (eNodeB), with which UE 414 communicates over the air and wirelessly. UEs 414 can include, without limitation, wireless devices, e.g., satellite communication systems, portable digital assistants (PDAs), laptop computers, tablet devices, Internet-of-things (IoT) devices, and other mobile devices (e.g., cellular telephones, smart appliances, and so on). UEs 414 can connect to eNBs 416 when UE 414 is within range according to a corresponding wireless communication technology.

UE 414 generally runs one or more applications that engage in a transfer of packets between UE 414 and one or more external networks 406. Such packet transfers can include one of downlink packet transfers from external network 406 to UE 414, uplink packet transfers from UE 414 to external network 406 or combinations of uplink and downlink packet transfers. Applications can include, without limitation, web browsing, VoIP, streaming media, and the like. Each application can pose different Quality of Service (QoS) requirements on a respective packet transfer. Different packet transfers can be served by different bearers within core network 404, e.g., according to parameters, such as the QoS.

Core network 404 uses a concept of bearers, e.g., EPS bearers, to route packets, e.g., IP traffic, between a particular gateway in core network 404 and UE 414. A bearer refers generally to an IP packet flow with a defined QoS between the particular gateway and UE 414. Access network 402, e.g., E UTRAN, and core network 404 together set up and release bearers as required by the various applications. Bearers can be classified in at least two different categories: (i) minimum guaranteed bit rate bearers, e.g., for applications, such as VoIP; and (ii) non-guaranteed bit rate bearers that do not require guarantee bit rate, e.g., for applications, such as web browsing.

In one embodiment, the core network 404 includes various network entities, such as MIME 418, SGW 420, Home Subscriber Server (HSS) 422, Policy and Charging Rules Function (PCRF) 424 and PGW 426. In one embodiment, MIME 418 comprises a control node performing a control signaling between various equipment and devices in access network 402 and core network 404. The protocols running between UE 414 and core network 404 are generally known as Non-Access Stratum (NAS) protocols.

For illustration purposes only, the terms MIME 418, SGW 420, HSS 422 and PGW 426, and so on, can be server devices, but may be referred to in the subject disclosure without the word “server.” It is also understood that any form of such servers can operate in a device, system, component, or other form of centralized or distributed hardware and software. It is further noted that these terms and other terms such as bearer paths or interfaces are terms that can include features, methodologies, or fields that may be described in whole or in part by standards bodies such as the 3GPP. It is further noted that some or all embodiments of the subject disclosure may in whole or in part modify, supplement, or otherwise supersede final or proposed standards published and promulgated by 3GPP.

According to traditional implementations of LTE-EPS architectures, SGW 420 routes and forwards all user data packets. SGW 420 also acts as a mobility anchor for user plane operation during handovers between base stations, e.g., during a handover from first eNB 416 a to second eNB 416 b as may be the result of UE 414 moving from one area of coverage, e.g., cell, to another. SGW 420 can also terminate a downlink data path, e.g., from external network 406 to UE 414 in an idle state and trigger a paging operation when downlink data arrives for UE 414. SGW 420 can also be configured to manage and store a context for UE 414, e.g., including one or more of parameters of the IP bearer service and network internal routing information. In addition, SGW 420 can perform administrative functions, e.g., in a visited network, such as collecting information for charging (e.g., the volume of data sent to or received from the user), or replicate user traffic, e.g., to support a lawful interception. SGW 420 also serves as the mobility anchor for interworking with other 3GPP technologies such as universal mobile telecommunication system (UMTS).

At any given time, UE 414 is generally in one of three different states: detached, idle, or active. The detached state is typically a transitory state in which UE 414 is powered on but is engaged in a process of searching and registering with network 402. In the active state, UE 414 is registered with access network 402 and has established a wireless connection, e.g., radio resource control (RRC) connection, with eNB 416. Whether UE 414 is in an active state can depend on the state of a packet data session, and whether there is an active packet data session. In the idle state, UE 414 is generally in a power conservation state in which UE 414 typically does not communicate packets. When UE 414 is idle, SGW 420 can terminate a downlink data path, e.g., from one peer entity 406, and triggers paging of UE 414 when data arrives for UE 414. If UE 414 responds to the page, SGW 420 can forward the IP packet to eNB 416 a.

HSS 422 can manage subscription-related information for a user of UE 414. For example, HSS 422 can store information such as authorization of the user, security requirements for the user, quality of service (QoS) requirements for the user, etc. HSS 422 can also hold information about external networks 406 to which the user can connect, e.g., in the form of an APN of external networks 406. For example, MME 418 can communicate with HSS 422 to determine if UE 414 is authorized to establish a call, e.g., a voice over IP (VoIP) call before the call is established.

PCRF 424 can perform QoS management functions and policy control. PCRF 424 is responsible for policy control decision-making, as well as for controlling the flow-based charging functionalities in a policy control enforcement function (PCEF), which resides in PGW 426. PCRF 424 provides the QoS authorization, e.g., QoS class identifier and bit rates that decide how a certain data flow will be treated in the PCEF and ensures that this is in accordance with the user's subscription profile.

PGW 426 can provide connectivity between the UE 414 and one or more of the external networks 406. In illustrative network architecture 400, PGW 426 can be responsible for IP address allocation for UE 414, as well as one or more of QoS enforcement and flow-based charging, e.g., according to rules from the PCRF 424. PGW 426 is also typically responsible for filtering downlink user IP packets into the different QoS-based bearers. In at least some embodiments, such filtering can be performed based on traffic flow templates. PGW 426 can also perform QoS enforcement, e.g., for guaranteed bit rate bearers. PGW 426 also serves as a mobility anchor for interworking with non-3GPP technologies such as CDMA2000.

Within access network 402 and core network 404 there may be various bearer paths/interfaces, e.g., represented by solid lines 428 and 430. Some of the bearer paths can be referred to by a specific label. For example, solid line 428 can be considered an S1-U bearer and solid line 432 can be considered an S5/S8 bearer according to LTE-EPS architecture standards. Without limitation, reference to various interfaces, such as S1, X2, S5, S8, S11 refer to EPS interfaces. In some instances, such interface designations are combined with a suffix, e.g., a “U” or a “C” to signify whether the interface relates to a “User plane” or a “Control plane.” In addition, the core network 404 can include various signaling bearer paths/interfaces, e.g., control plane paths/interfaces represented by dashed lines 430, 434, 436, and 438. Some of the signaling bearer paths may be referred to by a specific label. For example, dashed line 430 can be considered as an S1-MME signaling bearer, dashed line 434 can be considered as an S11 signaling bearer and dashed line 436 can be considered as an S6a signaling bearer, e.g., according to LTE-EPS architecture standards. The above bearer paths and signaling bearer paths are only illustrated as examples and it should be noted that additional bearer paths and signaling bearer paths may exist that are not illustrated.

Also shown is a novel user plane path/interface, referred to as the S1-U+ interface 466. In the illustrative example, the S1-U+ user plane interface extends between the eNB 416 a and PGW 426. Notably, S1-U+ path/interface does not include SGW 420, a node that is otherwise instrumental in configuring or managing packet forwarding between eNB 416 a and one or more external networks 406 by way of PGW 426. As disclosed herein, the S1-U+ path/interface facilitates autonomous learning of peer transport layer addresses by one or more of the network nodes to facilitate a self-configuring of the packet forwarding path. In particular, such self-configuring can be accomplished during handovers in most scenarios so as to reduce any extra signaling load on the S/PGWs 420, 426 due to excessive handover events.

In some embodiments, PGW 426 is coupled to storage device 440, shown in phantom. Storage device 440 can be integral to one of the network nodes, such as PGW 426, for example, in the form of internal memory or disk drive. It is understood that storage device 440 can include registers suitable for storing address values. Alternatively, or in addition, storage device 440 can be separate from PGW 426, for example, as an external hard drive, a flash drive, or network storage.

Storage device 440 selectively stores one or more values relevant to the forwarding of packet data. For example, storage device 440 can store identities or addresses of network entities, such as any of network nodes 418, 420, 422, 424, and 426, eNBs 416 or UE 414. In the illustrative example, storage device 440 includes a first storage location 442 and a second storage location 444. First storage location 442 can be dedicated to storing a Currently Used Downlink address value 442. Likewise, second storage location 444 can be dedicated to storing a Default Downlink Forwarding address value 444. PGW 426 can read or write values into either of storage locations 442, 444, for example, managing Currently Used Downlink Forwarding address value 442 and Default Downlink Forwarding address value 444 as disclosed herein.

In some embodiments, the Default Downlink Forwarding address for each EPS bearer is the SGW S5-U address for each EPS Bearer. The Currently Used Downlink Forwarding address” for each EPS bearer in PGW 426 can be set every time when PGW 426 receives an uplink packet, e.g., a GTP-U uplink packet, with a new source address for a corresponding EPS bearer. When UE 414 is in an idle state, the “Current Used Downlink Forwarding address” field for each EPS bearer of UE 414 can be set to a “null” or other suitable value.

In some embodiments, the Default Downlink Forwarding address is only updated when PGW 426 receives a new SGW S5-U address in a predetermined message or messages. For example, the Default Downlink Forwarding address is only updated when PGW 426 receives one of a Create Session Request, Modify Bearer Request and Create Bearer Response messages from SGW 420.

As values 442, 444 can be maintained and otherwise manipulated on a per bearer basis, it is understood that the storage locations can take the form of tables, spreadsheets, lists, or other data structures generally well understood and suitable for maintaining or otherwise manipulate forwarding addresses on a per bearer basis.

It should be noted that access network 402 and core network 404 are illustrated in a simplified block diagram in FIG. 5. In other words, either or both of access network 402 and the core network 404 can include additional network elements that are not shown, such as various routers, switches, and controllers. In addition, although FIG. 5 illustrates only a single one of each of the various network elements, it should be noted that access network 402 and core network 404 can include any number of the various network elements. For example, core network 404 can include a pool (i.e., more than one) of MMEs 418, SGWs 420 or PGWs 426.

In the illustrative example, data traversing a network path between UE 414, eNB 416 a, SGW 420, PGW 426 and external network 406 may be considered to constitute data transferred according to an end-to-end IP service. However, for the present disclosure, to properly perform establishment management in LTE-EPS network architecture 400, the core network, data bearer portion of the end-to-end IP service is analyzed.

An establishment may be defined herein as a connection set up request between any two elements within LTE-EPS network architecture 400. The connection set up request may be for user data or for signaling. A failed establishment may be defined as a connection set up request that was unsuccessful. A successful establishment may be defined as a connection set up request that was successful.

In one embodiment, a data bearer portion comprises a first portion (e.g., a data radio bearer 446) between UE 414 and eNB 416 a, a second portion (e.g., an S1 data bearer 428) between eNB 416 a and SGW 420, and a third portion (e.g., an S5/S8 bearer 432) between SGW 420 and PGW 426. Various signaling bearer portions are also illustrated in FIG. 5. For example, a first signaling portion (e.g., a signaling radio bearer 448) between UE 414 and eNB 416 a, and a second signaling portion (e.g., S1 signaling bearer 430) between eNB 416 a and MME 418.

In at least some embodiments, the data bearer can include tunneling, e.g., IP tunneling, by which data packets can be forwarded in an encapsulated manner, between tunnel endpoints. Tunnels, or tunnel connections can be identified in one or more nodes of network 400, e.g., by one or more of tunnel endpoint identifiers, an IP address, and a user datagram protocol port number. Within a particular tunnel connection, payloads, e.g., packet data, which may or may not include protocol related information, are forwarded between tunnel endpoints.

An example of first tunnel solution 450 includes a first tunnel 452 a between two tunnel endpoints 454 a and 456 a, and a second tunnel 452 b between two tunnel endpoints 454 b and 456 b. In the illustrative example, first tunnel 452 a is established between eNB 416 a and SGW 420. Accordingly, first tunnel 452 a includes a first tunnel endpoint 454 a corresponding to an S1-U address of eNB 416 a (referred to herein as the eNB S1-U address), and second tunnel endpoint 456 a corresponding to an S1-U address of SGW 420 (referred to herein as the SGW S1-U address). Likewise, second tunnel 452 b includes first tunnel endpoint 454 b corresponding to an S5-U address of SGW 420 (referred to herein as the SGW S5-U address), and second tunnel endpoint 456 b corresponding to an S5-U address of PGW 426 (referred to herein as the PGW S5-U address).

In at least some embodiments, first tunnel solution 450 is referred to as a two-tunnel solution, e.g., according to the GPRS Tunneling Protocol User Plane (GTPv1-U based), as described in 3GPP specification TS 29.281, incorporated herein in its entirety. It is understood that one or more tunnels are permitted between each set of tunnel end points. For example, each subscriber can have one or more tunnels, e.g., one for each PDP context that they have active, as well as possibly having separate tunnels for specific connections with different quality of service requirements, and so on.

An example of second tunnel solution 458 includes a single or direct tunnel 460 between tunnel endpoints 462 and 464. In the illustrative example, direct tunnel 460 is established between eNB 416 a and PGW 426, without subjecting packet transfers to processing related to SGW 420. Accordingly, direct tunnel 460 includes first tunnel endpoint 462 corresponding to the eNB S1-U address, and second tunnel endpoint 464 corresponding to the PGW S5-U address. Packet data received at either end can be encapsulated into a payload and directed to the corresponding address of the other end of the tunnel. Such direct tunneling avoids processing, e.g., by SGW 420 that would otherwise relay packets between the same two endpoints, e.g., according to a protocol, such as the GTP-U protocol.

In some scenarios, direct tunneling solution 458 can forward user plane data packets between eNB 416 a and PGW 426, by way of SGW 420. For example, SGW 420 can serve a relay function, by relaying packets between two tunnel endpoints 416 a, 426. In other scenarios, direct tunneling solution 458 can forward user data packets between eNB 416 a and PGW 426, by way of the S1 U+ interface, thereby bypassing SGW 420.

Generally, UE 414 can have one or more bearers at any one time. The number and types of bearers can depend on applications, default requirements, and so on. It is understood that the techniques disclosed herein, including the configuration, management and use of various tunnel solutions 450, 458, can be applied to the bearers on an individual basis. For example, if user data packets of one bearer, say a bearer associated with a VoIP service of UE 414, then the forwarding of all packets of that bearer are handled in a similar manner. Continuing with this example, the same UE 414 can have another bearer associated with it through the same eNB 416 a. This other bearer, for example, can be associated with a relatively low rate data session forwarding user data packets through core network 404 simultaneously with the first bearer. Likewise, the user data packets of the other bearer are also handled in a similar manner, without necessarily following a forwarding path or solution of the first bearer. Thus, one of the bearers may be forwarded through direct tunnel 458; whereas, another one of the bearers may be forwarded through a two-tunnel solution 450.

FIG. 6 depicts an exemplary diagrammatic representation of a machine in the form of a computer system 500 within which a set of instructions, when executed, may cause the machine to perform any one or more of the methods described above. One or more instances of the machine can operate, for example, as processor 302, UE 414, eNB 416, MIE 418, SGW 420, HSS 422, PCRF 424, PGW 426 and other devices of FIGS. 1-4. In some embodiments, the machine may be connected (e.g., using a network 502) to other machines. In a networked deployment, the machine may operate in the capacity of a server or a client user machine in a server-client user network environment, or as a peer machine in a peer-to-peer (or distributed) network environment.

The machine may comprise a server computer, a client user computer, a personal computer (PC), a tablet, a smart phone, a laptop computer, a desktop computer, a control system, a network router, switch or bridge, or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine. It will be understood that a communication device of the subject disclosure includes broadly any electronic device that provides voice, video, or data communication. Further, while a single machine is illustrated, the term “machine” shall also be taken to include any collection of machines that individually or jointly execute a set (or multiple sets) of instructions to perform any one or more of the methods discussed herein.

Computer system 500 may include a processor (or controller) 504 (e.g., a central processing unit (CPU)), a graphics processing unit (GPU, or both), a main memory 506 and a static memory 508, which communicate with each other via a bus 510. The computer system 500 may further include a display unit 512 (e.g., a liquid crystal display (LCD), a flat panel, or a solid-state display). Computer system 500 may include an input device 514 (e.g., a keyboard), a cursor control device 516 (e.g., a mouse), a disk drive unit 518, a signal generation device 520 (e.g., a speaker or remote control) and a network interface device 522. In distributed environments, the embodiments described in the subject disclosure can be adapted to utilize multiple display units 512 controlled by two or more computer systems 500. In this configuration, presentations described by the subject disclosure may in part be shown in a first of display units 512, while the remaining portion is presented in a second of display units 512.

The disk drive unit 518 may include a tangible computer-readable storage medium 518 on which is stored one or more sets of instructions (e.g., software 524) embodying any one or more of the methods or functions described herein, including those methods illustrated above. Instructions 524 may also reside, completely or at least partially, within main memory 506, static memory 508, or within processor 504 during execution thereof by the computer system 500. Main memory 506 and processor 504 also may constitute tangible computer-readable storage media.

As shown in FIG. 7, telecommunication system 600 may include wireless transmit/receive units (WTRUs) 602, a RAN 604, a core network 606, a public switched telephone network (PSTN) 608, the Internet 610, or other networks 612, though it will be appreciated that the disclosed examples contemplate any number of WTRUs, base stations, networks, or network elements. Each WTRU 602 may be any type of device configured to operate or communicate in a wireless environment. For example, a WTRU may comprise IoT devices 32, mobile devices 33, network device 300, or the like, or any combination thereof. By way of example, WTRUs 602 may be configured to transmit or receive wireless signals and may include a UE, a mobile station, a mobile device, a fixed or mobile subscriber unit, a pager, a cellular telephone, a PDA, a smartphone, a laptop, a netbook, a personal computer, a wireless sensor, consumer electronics, or the like. WTRUs 602 may be configured to transmit or receive wireless signals over an air interface 614.

Telecommunication system 600 may also include one or more base stations 616. Each of base stations 616 may be any type of device configured to wirelessly interface with at least one of the WTRUs 602 to facilitate access to one or more communication networks, such as core network 606, PTSN 608, Internet 610, or other networks 612. By way of example, base stations 616 may be a base transceiver station (BTS), a Node-B, an eNodeB, a Home Node B, a Home eNodeB, a site controller, an access point (AP), a wireless router, or the like. While base stations 616 are each depicted as a single element, it will be appreciated that base stations 616 may include any number of interconnected base stations or network elements.

RAN 604 may include one or more base stations 616, along with other network elements (not shown), such as a base station controller (BSC), a radio network controller (RNC), or relay nodes. One or more base stations 616 may be configured to transmit or receive wireless signals within a particular geographic region, which may be referred to as a cell (not shown). The cell may further be divided into cell sectors. For example, the cell associated with base station 616 may be divided into three sectors such that base station 616 may include three transceivers: one for each sector of the cell. In another example, base station 616 may employ multiple-input multiple-output (MIMO) technology and, therefore, may utilize multiple transceivers for each sector of the cell.

Base stations 616 may communicate with one or more of WTRUs 602 over air interface 614, which may be any suitable wireless communication link (e.g., RF, microwave, infrared (IR), ultraviolet (UV), or visible light). Air interface 614 may be established using any suitable radio access technology (RAT).

More specifically, as noted above, telecommunication system 600 may be a multiple access system and may employ one or more channel access schemes, such as CDMA, TDMA, FDMA, OFDMA, SC-FDMA, or the like. For example, base station 616 in RAN 604 and WTRUs 602 connected to RAN 604 may implement a radio technology such as Universal Mobile Telecommunications System (UMTS) Terrestrial Radio Access (UTRA) that may establish air interface 614 using wideband CDMA (WCDMA). WCDMA may include communication protocols, such as High-Speed Packet Access (HSPA) or Evolved HSPA (HSPA+). HSPA may include High-Speed Downlink Packet Access (HSDPA) or High-Speed Uplink Packet Access (HSUPA).

As another example base station 616 and WTRUs 602 that are connected to RAN 604 may implement a radio technology such as Evolved UMTS Terrestrial Radio Access (E-UTRA), which may establish air interface 614 using LTE or LTE-Advanced (LTE-A).

Optionally base station 616 and WTRUs 602 connected to RAN 604 may implement radio technologies such as IEEE 602.16 (i.e., Worldwide Interoperability for Microwave Access (WiMAX)), CDMA2000, CDMA2000 1×, CDMA2000 EV-DO, Interim Standard 2000 (IS-2000), Interim Standard 95 (IS-95), Interim Standard 856 (IS-856), GSM, Enhanced Data rates for GSM Evolution (EDGE), GSM EDGE (GERAN), or the like.

Base station 616 may be a wireless router, Home Node B, Home eNodeB, or access point, for example, and may utilize any suitable RAT for facilitating wireless connectivity in a localized area, such as a place of business, a home, a vehicle, a campus, or the like. For example, base station 616 and associated WTRUs 602 may implement a radio technology such as IEEE 602.11 to establish a wireless local area network (WLAN). As another example, base station 616 and associated WTRUs 602 may implement a radio technology such as IEEE 602.15 to establish a wireless personal area network (WPAN). In yet another example, base station 616 and associated WTRUs 602 may utilize a cellular-based RAT (e.g., WCDMA, CDMA2000, GSM, LTE, LTE-A, etc.) to establish a picocell or femtocell. As shown in FIG. 7, base station 616 may have a direct connection to Internet 610. Thus, base station 616 may not be required to access Internet 610 via core network 606.

RAN 604 may be in communication with core network 606, which may be any type of network configured to provide voice, data, applications, or voice over internet protocol (VoIP) services to one or more WTRUs 602. For example, core network 606 may provide call control, billing services, mobile location-based services, pre-paid calling, Internet connectivity, video distribution or high-level security functions, such as user authentication. Although not shown in FIG. 7, it will be appreciated that RAN 604 or core network 606 may be in direct or indirect communication with other RANs that employ the same RAT as RAN 604 or a different RAT. For example, in addition to being connected to RAN 604, which may be utilizing an E-UTRA radio technology, core network 606 may also be in communication with another RAN (not shown) employing a GSM radio technology.

Core network 606 may also serve as a gateway for WTRUs 602 to access PSTN 608, Internet 610, or other networks 612. PSTN 608 may include circuit-switched telephone networks that provide plain old telephone service (POTS). For LTE core networks, core network 606 may use IMS core 615 to provide access to PSTN 608. Internet 610 may include a global system of interconnected computer networks or devices that use common communication protocols, such as the transmission control protocol (TCP), user datagram protocol (UDP), or IP in the TCP/IP internet protocol suite. Other networks 612 may include wired or wireless communications networks owned or operated by other service providers. For example, other networks 612 may include another core network connected to one or more RANs, which may employ the same RAT as RAN 604 or a different RAT.

Some or all WTRUs 602 in telecommunication system 600 may include multi-mode capabilities. For example, WTRUs 602 may include multiple transceivers for communicating with different wireless networks over different wireless links. For example, one or more WTRUs 602 may be configured to communicate with base station 616, which may employ a cellular-based radio technology, and with base station 616, which may employ an IEEE 802 radio technology.

While examples of described telecommunications system have been described in connection with various computing devices/processors, the underlying concepts may be applied to any computing device, processor, or system capable of facilitating a telecommunications system. The various techniques described herein may be implemented in connection with hardware or software or, where appropriate, with a combination of both. Thus, the methods and devices may take the form of program code (i.e., instructions) embodied in concrete, tangible, storage media having a concrete, tangible, physical structure. Examples of tangible storage media include floppy diskettes, CD-ROMs, DVDs, hard drives, or any other tangible machine-readable storage medium (computer-readable storage medium). Thus, a computer-readable storage medium is not a signal. A computer-readable storage medium is not a transient signal. Further, a computer-readable storage medium is not a propagating signal. A computer-readable storage medium as described herein is an article of manufacture. When the program code is loaded into and executed by a machine, such as a computer, the machine becomes a device for telecommunications. In the case of program code execution on programmable computers, the computing device will generally include a processor, a storage medium readable by the processor (including volatile or nonvolatile memory or storage elements), at least one input device, and at least one output device. The program(s) can be implemented in assembly or machine language, if desired. The language can be a compiled or interpreted language and may be combined with hardware implementations.

The methods and devices associated with a telecommunications system as described herein also may be practiced via communications embodied in the form of program code that is transmitted over some transmission medium, such as over electrical wiring or cabling, through fiber optics, or via any other form of transmission, wherein, when the program code is received and loaded into and executed by a machine, such as an EPROM, a gate array, a programmable logic device (PLD), a client computer, or the like, the machine becomes an device for implementing telecommunications as described herein. When implemented on a general-purpose processor, the program code combines with the processor to provide a unique device that operates to invoke the functionality of a telecommunications system.

While a telecommunications system has been described in connection with the various examples of the various figures, it is to be understood that other similar implementations may be used, or modifications and additions may be made to the described examples of a telecommunications system without deviating therefrom. For example, one skilled in the art will recognize that a telecommunications system as described in the instant application may apply to any environment, whether wired or wireless, and may be applied to any number of such devices connected via a communications network and interacting across the network. Therefore, a telecommunications system as described herein should not be limited to any single example, but rather should be construed in breadth and scope in accordance with the appended claims. In addition, the use of the word “or” is generally used inclusively unless otherwise provided herein. The steps disclosed herein (e.g., FIG. 1, FIG. 2, or FIG. 3) may be executed on one device or distributed over a plurality of devices.

Methods, systems, and apparatuses, among other things, as described herein may provide for receiving information associated with a plurality of user equipment (UE), wherein the information comprises location information for each of the plurality of UE; receiving information associated with a plurality of temporary network attached compute (NAC) apparatuses in proximity to the plurality of UE; analyzing the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses, wherein the analysis of the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses is based on historical or near real-time information that uses artificial intelligence; in response to the analysis, detecting a trigger, wherein the trigger may include reaching one or more thresholds associated with the information associated with the plurality of UE or the information associated with the plurality of temporary NAC apparatuses; and based on the trigger, orchestrating movement, or connection of each of the plurality of temporary NAC apparatuses. The location information may include geographical location for each of the plurality of UE or proximity information between each of the plurality of UE. The information may include application information for each of the plurality of UE. The application information may include type of application, minimum latency required between a compute resource and each UE of the plurality of UE, type of compute resource required to operate with each UE of the plurality of UE, quality of service requirement of application, or minimum bandwidth threshold or preferred bandwidth threshold while using each application on each of the plurality of UE. The information associated with the plurality of temporary NAC apparatuses may include: a type of each of the plurality of temporary NAC apparatuses, a type of compute resource within each of the plurality of the temporary NAC apparatuses, latency between the plurality of UE and the plurality of temporary NAC apparatuses, available bandwidth to each of the plurality of temporary NAC apparatuses, location of each of the plurality of temporary NAC apparatus, movement capability of each of the plurality of temporary NAC apparatuses, required security of the data the temporary NAC processes, projected time for each of the plurality of temporary NAC apparatuses to maneuver to a designated location, temporary NAC apparatuses wherein a subset of the plurality of temporary NAC apparatuses are association with unmanned vehicles, autonomous vehicles, base stations, or internet of things devices. The operations may include instructing at least one of the plurality of temporary NAC apparatuses to travel to a designated location, and connecting to a connection point for a radio access network or a multi-access edge computing. The operations may include, in response to the analysis, predicting future compute needs (e.g., a machine learning predictive component) at a designated location. All combinations in this paragraph (including the removal or addition of steps) are contemplated in a manner that is consistent with the other portions of the detailed description. 

What is claimed:
 1. A device comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: receiving location information associated with a group of communication devices over a mobile network; receiving mobile network information associated with a group of network devices in proximity to the communication devices over the mobile network, wherein the mobile network information comprises identification information associated with compute resources for each of the group of network devices; identifying that the group of communication devices are supporting a service; determining a type of compute resources associated with the service; determining a portion of the group of network devices are associated with the type of compute resources based on the identification information resulting in a first determination; and providing instructions to each of the portion of the group of network devices to communicatively couple to each of the group of communication devices based on the first determination, wherein each of the portion of the group of network devices provide compute resources associated with the type of compute resources to provide the service.
 2. The device of claim 1, wherein the operations comprise analyzing the location information and the mobile network information resulting in an analysis, wherein the determining of the portion of the group of network devices comprises determining the portion of the group of network devices based on the analysis.
 3. The device of claim 2, wherein the analysis is based on historical or near real-time information that uses artificial intelligence.
 4. The device of claim 1, wherein the operations comprise determining that compute resources associated with the group of communication devices is above a threshold resulting in a second determination, wherein the determining of the portion of the group of network devices comprises determining the portion of the group of network devices based on the second determination.
 5. The device of claim 1, wherein the location information comprises a geographical location for each of the group of communication devices and proximity information between each of the group of communication devices.
 6. The device of claim 1, wherein the mobile network information comprises application information for each of the group of communication devices.
 7. The device of claim 6, wherein the application information comprises one of type of application, minimum latency required between a compute resource and each communication device of the group of communication devices, type of compute resource required to operate with each communication device of the group of communication devices, quality of service requirement of application, or minimum bandwidth threshold or preferred bandwidth threshold while using each application on each of the group of communication devices.
 8. The device of claim 1, wherein the mobile network information associated with the group of network devices comprises one of a type of each of the group of network devices, a type of compute resource within each of the group of network devices, latency between the group of communication devices and the group of network devices, available bandwidth to each of the group of network devices, location of each of the group of network devices, movement capability of each of the group of network devices, required security of data of temporary network processes, projected time for each of the group of network devices to maneuver to a designated location, temporary network devices wherein a subset of the group of network devices are association with unmanned vehicles, autonomous vehicles, base stations, or internet of things devices.
 9. The device of claim 1, wherein the operations further comprise instructing at least one of the group of network devices to travel to a designated location, and connecting to a connection point for one of a radio access network or a multi-access edge computing.
 10. The device of claim 1, wherein the operations comprise predicting future compute resources at a designated location.
 11. A non-transitory, machine-readable storage medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, comprising: receiving location information associated with a group of communication devices over a mobile network; receiving mobile network information associated with a group of network devices in proximity to the communication devices over the mobile network, wherein the mobile network information comprises identification information associated with compute resources for each of the group of network devices; identifying that the group of communication devices are supporting a service; determining a type of compute resources associated with the service; identifying a designated location for the type of compute resources; determining a portion of the group of network devices are associated with the type of compute resources based on the identification information resulting in a first determination; and providing instructions to each of the portion of the group of network devices to travel to the designated location and communicatively couple to each of the group of communication devices based on the first determination, wherein each of the portion of the group of network devices provide compute resources associated with the type of compute resources to provide the service.
 12. The non-transitory, machine-readable storage medium of claim 11, wherein the operations comprise analyzing the location information and the mobile network information resulting in an analysis, wherein the determining of the portion of the group of network devices comprises determining the portion of the group of network devices based on the analysis.
 13. The non-transitory, machine-readable storage medium of claim 12, wherein the analysis is based on historical or near real-time information that uses artificial intelligence.
 14. The non-transitory, machine-readable storage medium of claim 11, wherein the operations comprise determining that compute resources associated with the group of communication devices is above a threshold resulting in a second determination, wherein the determining of the portion of the group of network devices comprises determining the portion of the group of network devices based on the second determination.
 15. The non-transitory, machine-readable storage medium of claim 11, wherein the location information comprises a geographical location for each of the group of communication devices and proximity information between each of the group of communication devices.
 16. The non-transitory, machine-readable storage medium of claim 11, wherein the mobile network information comprises application information for each of the group of communication devices.
 17. The non-transitory, machine-readable storage medium of claim 16, wherein the application information comprises one of type of application, minimum latency required between a compute resource and each communication device of the group of communication devices, type of compute resource required to operate with each communication device of the group of communication devices, quality of service requirement of application, or minimum bandwidth threshold or preferred bandwidth threshold while using each application on each of the group of communication devices.
 18. The non-transitory, machine-readable storage medium of claim 11, wherein the mobile network information associated with the group of network devices comprises one of a type of each of the group of network devices, a type of compute resource within each of the group of network devices, latency between the group of communication devices and the group of network devices, available bandwidth to each of the group of network devices, location of each of the group of network devices, movement capability of each of the group of network devices, required security of data of temporary network processes, projected time for each of the group of network devices to maneuver to a designated location, temporary network devices wherein a subset of the group of network devices are association with unmanned vehicles, autonomous vehicles, base stations, or internet of things devices.
 19. A method, comprising: receiving, by a processing system including a processor, location information associated with a group of communication devices over a mobile network; receiving, by the processing system, mobile network information associated with a group of network devices in proximity to the communication devices over the mobile network, wherein the mobile network information comprises identification information associated with compute resources for each of the group of network devices; identifying, by the processing system, that the group of communication devices are supporting a service; determining, by the processing system, a type of compute resources associated with the service; determining, by the processing system, the compute resources associated with the group of communication devices are above a threshold resulting in a first determination; determining, by the processing system, a portion of the group of network devices are associated with the type of compute resources based on the identification information resulting in a second determination; and providing, by the processing system, instructions to each of the portion of the group of network devices to communicatively couple to each of the group of communication devices based on the first determination and the second determination, wherein each of the portion of the group of network devices provide compute resources associated with the type of compute resources to provide the service.
 20. The method of claim 19, wherein the location information comprises a geographical location for each of the group of communication devices and proximity information between each of the group of communication devices. 